Protect your AI innovation from the rapidly evolving risks of tomorrow. Our purpose-built AI security platform ensures that every connection in your AI ecosystem is secure.
Secure your AI initiatives with FireTail's AI & API protection, ensuring that new developments don't leak data.
If you can't see it, you can't secure it. Gain total insight into how your apps & APIs interact with AI models, identifying risks before they become threats. Eliminate shadow AI and understand which models and data are at risk.
FireTail empowers development teams, embedding AI security directly into your workflows, ensuring you can build, deploy, and scale AI safely without disrupting innovation.
AI tools and models are often deployed without security oversight. FireTail continuously discovers and monitors AI integrations, providing full visibility.
AI models frequently process sensitive, regulated data. FireTail continuously monitors AI inputs and outputs to detect sensitive data exposure and mitigate compliance violations under GDPR, CCPA and other regulatory frameworks.
Prompt injection, improper output handling, and system prompt leakage are difficult to identify with traditional security tools. FireTail detects these threats in real time allowing you to react quickly. and minimise the impacts of attacks.
As AI evolves, so do the risks. FireTail helps you to quickly identify vulnerabilities and misconfigurations across all of your AI initiatives.
FireTail’s AI security posture management engine automatically finds your AI integrations and assesses security risks.
FireTail scans your entire AI ecosystem—code, models, and cloud environments—to uncover vulnerabilities, and detect anomalies.
FireTail protects against prompt injection, sensitive data leaks, supply chain risks, and system prompt exposure with automated threat detection, policy enforcement, and real-time alerts.
Identify and prioritize security gaps with FireTail’s AI risk scoring engine, aligning to OWASP LLM, MITRE ATT&CK, and global compliance frameworks.
Find answers to common questions about protecting AI models, APIs, and data pipelines using FireTail’s AI Security solutions
AI security refers to the tools, policies, and technologies that protect artificial intelligence systems from threats such as data leaks, prompt injection, and unauthorized model access. FireTail’s AI Security Platform helps organizations secure AI models, APIs, and data pipelines in real time.
To secure AI, organizations should continuously discover all AI integrations, monitor for risks, protect data inputs and outputs, and enforce governance policies. FireTail automates these steps with AI security posture management, real-time threat detection, and compliance monitoring.
Generative AI systems process large volumes of data, often containing sensitive information. Without safeguards, this data can be exposed through model outputs. FireTail provides tools for monitoring generative AI inputs and outputs, detecting sensitive data exposure, and enforcing data-handling policies.
Organizations test generative AI by simulating prompt injection, data extraction, and misuse scenarios. FireTail’s AI Security Testing capabilities identify vulnerabilities in AI models, APIs, and integrations helping teams mitigate security and compliance risks before deployment.